Open-Source Electronics Platforms
| dc.contributor.author | Ngo, Trung Dung | * |
| dc.date.accessioned | 2021-02-11T21:42:32Z | |
| dc.date.available | 2021-02-11T21:42:32Z | |
| dc.date.issued | 2019 | * |
| dc.date.submitted | 2019-06-26 08:44:06 | * |
| dc.identifier | 33644 | * |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/55271 | |
| dc.description.abstract | Open-source electronics are becoming very popular, and are integrated with our daily educational and developmental activities. At present, the use open-source electronics for teaching science, technology, engineering, and mathematics (STEM) has become a global trend. Off-the-shelf embedded electronics such as Arduino- and Raspberry-compatible modules have been widely used for various applications, from do-it-yourself (DIY) to industrial projects. In addition to the growth of open-source software platforms, open-source electronics play an important role in narrowing the gap between prototyping and product development. Indeed, the technological and social impacts of open-source electronics in teaching, research, and innovation have been widely recognized. | * |
| dc.language | English | * |
| dc.subject | TA1-2040 | * |
| dc.subject | T1-995 | * |
| dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology | en_US |
| dc.subject.other | distributed measurement systems | * |
| dc.subject.other | open-source platform | * |
| dc.subject.other | n/a | * |
| dc.subject.other | FPGA | * |
| dc.subject.other | technology convergence | * |
| dc.subject.other | distributed energy resource | * |
| dc.subject.other | vision system | * |
| dc.subject.other | infrared | * |
| dc.subject.other | DC/DC converter | * |
| dc.subject.other | modified sliding window algorithm | * |
| dc.subject.other | virtual sensor | * |
| dc.subject.other | open platform | * |
| dc.subject.other | context | * |
| dc.subject.other | maximum power point tracking (MPPT) | * |
| dc.subject.other | ontology | * |
| dc.subject.other | Python | * |
| dc.subject.other | EPICS | * |
| dc.subject.other | human-computer interface (HCI) | * |
| dc.subject.other | visual algorithms | * |
| dc.subject.other | open hardware | * |
| dc.subject.other | automated vehicle | * |
| dc.subject.other | interleaved | * |
| dc.subject.other | electromyogram (EMG) | * |
| dc.subject.other | sensor detection | * |
| dc.subject.other | smart farming | * |
| dc.subject.other | digital signal controllers | * |
| dc.subject.other | blockchain | * |
| dc.subject.other | PiCamera | * |
| dc.subject.other | eye tracking | * |
| dc.subject.other | smart cities | * |
| dc.subject.other | Arduino | * |
| dc.subject.other | smart converter | * |
| dc.subject.other | OPC UA | * |
| dc.subject.other | Field Programmable Gate Array (FPGA) | * |
| dc.subject.other | wireless sensor networks | * |
| dc.subject.other | Raspberry Pi | * |
| dc.subject.other | BeagleBoard | * |
| dc.subject.other | service learning | * |
| dc.subject.other | embedded systems education | * |
| dc.subject.other | individual management of livestock | * |
| dc.subject.other | robotics | * |
| dc.subject.other | sensor networks | * |
| dc.subject.other | dsPIC | * |
| dc.subject.other | thermal imaging | * |
| dc.subject.other | photovoltaic (PV) system | * |
| dc.subject.other | hardware trojan taxonomy | * |
| dc.subject.other | science teaching | * |
| dc.subject.other | side channel analysis | * |
| dc.subject.other | coalition | * |
| dc.subject.other | electrooculogram (EOG) | * |
| dc.subject.other | automation networks | * |
| dc.subject.other | robotic tool | * |
| dc.subject.other | cloud computing | * |
| dc.subject.other | Java | * |
| dc.subject.other | industry 4.0 | * |
| dc.subject.other | teaching robotics | * |
| dc.subject.other | Digital Signal Processor (DSP) | * |
| dc.subject.other | piecewise linear approximation (PLA) | * |
| dc.subject.other | Internet of Things | * |
| dc.subject.other | Cloud of Things | * |
| dc.subject.other | STEM | * |
| dc.subject.other | support vector regression | * |
| dc.subject.other | cyber-physical systems | * |
| dc.subject.other | interaction | * |
| dc.subject.other | node-RED | * |
| dc.subject.other | momentum data sensing | * |
| dc.subject.other | remote sensing platform | * |
| dc.title | Open-Source Electronics Platforms | * |
| dc.type | book | |
| oapen.identifier.doi | 10.3390/books978-3-03897-973-9 | * |
| oapen.relation.isPublishedBy | 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 | * |
| oapen.relation.isbn | 9783038979722 | * |
| oapen.relation.isbn | 9783038979739 | * |
| oapen.pages | 262 | * |
| oapen.edition | 1st | * |
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